Semi-fragile watermarking image authentication using real symmetric matrix

In order to improve malicious tampering detection of image, it needs to decrease the fragility of hidden watermark even the digital images have been incidentally distorted. In this paper, we propose a new semi-fragile digital watermarking technique based on the eigenvalues and its corresponding eigenvectors of real symmetric matrix. Real symmetric matrix is generated by the diversity of four pair pixels value. Signature bit is generated by the dominant eigenvector of real symmetric matrix. We use dominant eigenvalues and the corresponding eigenvector for signature bit representation to detect the malicious tampering of image and reach the multipurpose watermarking application. We use the dominant eigenvalues to reduce the sensitivity of quantization based watermarking. The experimental results show that this algorithm can resist high quality JPEG compression, and improve the detection performance of various malicious tampering.